Evidence map›Paper›PMID 25625027›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2015

Quantitative and qualitative comparison of continuous bed motion and traditional step and shoot PET/CT.

Dustin R Osborne, Shelley Acuff, Sarah Cruise, Mumtaz Syed, Melissa Neveu, Alan Stuckey, Yong Bradley

Abstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Feasibility of whole-body 2-deoxy-2-[Annals of nuclear medicine · 2023
    Article
  7. Article
  8. Article
  9. The effect of modern PET technology and techniques on the EANM paediatric dosage card.European journal of nuclear medicine and molecular imaging · 2022
    Article
  10. Article
  11. Article
  12. Dynamic whole-bodyEuropean journal of nuclear medicine and molecular imaging · 2020
    Article
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dustin R OsborneDepartment of Radiology, University of Tennessee Graduate School of Medicine USA.
Shelley AcuffDepartment of Radiology, University of Tennessee Graduate School of Medicine USA.
Sarah CruiseDepartment of Chemical and Biomolecular Engineering, University of Tennessee USA.
Mumtaz SyedDepartment of Radiology, University of Tennessee Graduate School of Medicine USA.
Melissa NeveuDepartment of Radiology, University of Tennessee Graduate School of Medicine USA.
Alan StuckeyDepartment of Radiology, University of Tennessee Graduate School of Medicine USA.
Yong BradleyDepartment of Radiology, University of Tennessee Graduate School of Medicine USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New developments in PET/CT technology have enabled the commercial availability of continuous bed motion (CBM) acquisition methods. This technology has some potential performance benefits compared to standard step and shoot (SS) imaging, however, this technology has not been assessed with regard to quantitative and image quality parameters compared to traditional SS techniques. This study seeks to compare clinically relevant quantitative and image quality parameters using CBM and SS data collection methods with the intent of providing assistance in making educated decisions regarding imaging protocol development when using CBM technology versus SS imaging.

Indexed as

CBMcontinuous bed motionCTPET

Identifiers

PMID25625027
PMCPMC4299776

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.